9 часов назад
Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading teams building the Jutro Digital Platform across React-based frontend components and Java/Kotlin microservices on AWS with an accent on scalable architecture, software delivery, and AI-assisted development. Focus on guiding Spec-Driven Development, integrating approved AI tools with human oversight, and improving engineering quality, operations, and delivery across multiple teams.
Location: Dublin, Ireland; in-office attendance required for 10 days per month
Company
provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers worldwide.
What you will do
- Lead and mentor multiple engineering teams, including feedback, coaching, delegation, performance management, and career development.
- Set team goals, align quarterly plans with stakeholders, and coordinate delivery across teams.
- Drive adoption of AI-assisted development, including Spec-Driven Development, approved AI tools, and focused pilots.
- Oversee architecture and technical excellence across React, Kotlin, Spring Boot, AWS, and microservices-based systems.
- Maintain operational health through incident response, monitoring, alerting, and continuous improvement of agile delivery practices.
- Support recruitment, interviewing, onboarding, and team growth.
Requirements
- 8+ years of professional software engineering experience, including 3+ years in engineering leadership.
- Experience leading multiple development teams building microservices in cloud-based architectures.
- Strong understanding of modern web architectures, preferably including React, Node.js, Java, Kotlin, and Spring Boot.
- Proven interest or experience in AI-assisted development, prompt engineering, or integrating tools such as GitHub Copilot and Claude into the software development lifecycle.
- Experience delivering long-term technical roadmaps and communicating clearly with stakeholders.
- Expertise in RFCs, ADRs, pair programming, automated testing, code reviews, and software engineering best practices.
Culture & Benefits
- Structured, high-bandwidth collaboration through regular in-office work.
- Human-in-the-loop AI adoption focused on reviewability, explainability, security, and cognitive ownership.
- Agile working practices that support collaboration, delivery efficiency, and continuous improvement.
- Opportunities to contribute to organization-wide AI programs and share development learnings.
- Inclusive workplace committed to equal opportunity and diverse perspectives.
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